





from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload
class 							SCREAMING_SNAKE_CASE  :


   def __init__(       self     :							Union[str, Any]     ,	a     :							List[Any] = None			)->  None:





     """simple docstring"""







     if components is None:
       lowercase__           =    []
     lowercase__           =    list(lowerCAmelCase__			)


   def __len__(       self     :							int			)->  int:





     """simple docstring"""







     return len(self.__components			)


   def __str__(       self     :							Dict			)->  str:





     """simple docstring"""







     return "(" + ",".join(map(lowerCAmelCase__     ,	self.__components			)			) + ")"


   def __add__(       self     :							Optional[int]     ,	a     :							Dict			)->  Vector:





     """simple docstring"""







     lowercase__           =    len(self			)
     if size == len(lowerCAmelCase__			):
       lowercase__           =    [self.__components[i] + other.component(lowerCAmelCase__			) for i in range(lowerCAmelCase__			)]
       return Vector(lowerCAmelCase__			)
     else:
       raise Exception('must have the same size'			)


   def __sub__(       self     :							Optional[int]     ,	a     :							str			)->  Vector:





     """simple docstring"""







     lowercase__           =    len(self			)
     if size == len(lowerCAmelCase__			):
       lowercase__           =    [self.__components[i] - other.component(lowerCAmelCase__			) for i in range(lowerCAmelCase__			)]
       return Vector(lowerCAmelCase__			)
     else:  # error case
       raise Exception('must have the same size'			)


   @overload
   def __mul__(       self     :							Union[str, Any]     ,	a     :							Union[str, Any]			)->  Vector:





     """simple docstring"""







     ...


   @overload
   def __mul__(       self     :							Optional[Any]     ,	a     :							Union[str, Any]			)->  float:





     """simple docstring"""







     ...


   def __mul__(       self     :							str     ,	a     :							Tuple			)->  float | Vector:





     """simple docstring"""







     if isinstance(lowerCAmelCase__     ,	(float, int)			):
       lowercase__           =    [c * other for c in self.__components]
       return Vector(lowerCAmelCase__			)
     elif isinstance(lowerCAmelCase__     ,	lowerCAmelCase__			) and len(self			) == len(lowerCAmelCase__			):
       lowercase__           =    len(self			)
       lowercase__           =    [self.__components[i] * other.component(lowerCAmelCase__			) for i in range(lowerCAmelCase__			)]
       return sum(lowerCAmelCase__			)
     else:  # error case
       raise Exception('invalid operand!'			)


   def 			SCREAMING_SNAKE_CASE_				(       self     :							Dict			)->  Vector:





     """simple docstring"""







     return Vector(self.__components			)


   def 			SCREAMING_SNAKE_CASE_				(       self     :							Dict     ,	a     :							Optional[Any]			)->  float:





     """simple docstring"""







     if isinstance(lowerCAmelCase__     ,	lowerCAmelCase__			) and -len(self.__components			) <= i < len(self.__components			):
       return self.__components[i]
     else:
       raise Exception('index out of range'			)


   def 			SCREAMING_SNAKE_CASE_				(       self     :							Tuple     ,	a     :							str     ,	a     :							List[Any]			)->  None:





     """simple docstring"""







     assert -len(self.__components			) <= pos < len(self.__components			)
     lowercase__           =    value


   def 			SCREAMING_SNAKE_CASE_				(       self     :							Tuple			)->  float:





     """simple docstring"""







     if len(self.__components			) == 0:
       raise Exception('Vector is empty'			)
     lowercase__           =    [c**2 for c in self.__components]
     return math.sqrt(sum(lowerCAmelCase__			)			)


   def 			SCREAMING_SNAKE_CASE_				(       self     :							str     ,	a     :							str     ,	a     :							List[Any] = False			)->  float:





     """simple docstring"""







     lowercase__           =    self * other
     lowercase__           =    self.euclidean_length() * other.euclidean_length()
     if deg:
       return math.degrees(math.acos(num / den			)			)
     else:
       return math.acos(num / den			)






def      __UpperCamelCase    (_SCREAMING_SNAKE_CASE						)							->  Optional[Any]:
  assert isinstance(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)
  return Vector([0] * dimension						)




def      __UpperCamelCase    (_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)							->  Any:
  assert isinstance(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						) and (isinstance(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						))
  lowercase__           =    [0] * dimension
  lowercase__           =    1
  return Vector(_SCREAMING_SNAKE_CASE						)




def      __UpperCamelCase    (_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)							->  Optional[int]:
  assert (
      isinstance(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)
      and isinstance(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)
      and (isinstance(_SCREAMING_SNAKE_CASE						,		(int, float)						))
  )
  return x * scalar + y




def      __UpperCamelCase    (_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)							->  Optional[int]:
  random.seed(_SCREAMING_SNAKE_CASE						)
  lowercase__           =    [random.randint(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						) for _ in range(_SCREAMING_SNAKE_CASE						)]
  return Vector(_SCREAMING_SNAKE_CASE						)
class 							SCREAMING_SNAKE_CASE  :


   def __init__(       self     :							Optional[Any]     ,	a     :							List[str]     ,	a     :							str     ,	a     :							List[str]			)->  None:





     """simple docstring"""







     lowercase__           =    matrix
     lowercase__           =    w
     lowercase__           =    h


   def __str__(       self     :							Union[str, Any]			)->  str:





     """simple docstring"""







     lowercase__           =    ''
     for i in range(self.__height			):
       ans += "|"
       for j in range(self.__width			):
         if j < self.__width - 1:
           ans += str(self.__matrix[i][j]			) + ","
         else:
           ans += str(self.__matrix[i][j]			) + "|\n"
     return ans


   def __add__(       self     :							int     ,	a     :							Optional[Any]			)->  Matrix:





     """simple docstring"""







     if self.__width == other.width() and self.__height == other.height():
       lowercase__           =    []
       for i in range(self.__height			):
         lowercase__           =    [
             self.__matrix[i][j] + other.component(lowerCAmelCase__     ,	lowerCAmelCase__			)
             for j in range(self.__width			)
         ]
         matrix.append(lowerCAmelCase__			)
       return Matrix(lowerCAmelCase__     ,	self.__width     ,	self.__height			)
     else:
       raise Exception('matrix must have the same dimension!'			)


   def __sub__(       self     :							Any     ,	a     :							Optional[int]			)->  Matrix:





     """simple docstring"""







     if self.__width == other.width() and self.__height == other.height():
       lowercase__           =    []
       for i in range(self.__height			):
         lowercase__           =    [
             self.__matrix[i][j] - other.component(lowerCAmelCase__     ,	lowerCAmelCase__			)
             for j in range(self.__width			)
         ]
         matrix.append(lowerCAmelCase__			)
       return Matrix(lowerCAmelCase__     ,	self.__width     ,	self.__height			)
     else:
       raise Exception('matrices must have the same dimension!'			)


   @overload
   def __mul__(       self     :							Tuple     ,	a     :							Tuple			)->  Matrix:





     """simple docstring"""







     ...


   @overload
   def __mul__(       self     :							List[Any]     ,	a     :							Dict			)->  Vector:





     """simple docstring"""







     ...


   def __mul__(       self     :							Optional[int]     ,	a     :							Tuple			)->  Vector | Matrix:





     """simple docstring"""







     if isinstance(lowerCAmelCase__     ,	lowerCAmelCase__			):  # matrix-vector
       if len(lowerCAmelCase__			) == self.__width:
         lowercase__           =    zero_vector(self.__height			)
         for i in range(self.__height			):
           lowercase__           =    [
               self.__matrix[i][j] * other.component(lowerCAmelCase__			)
               for j in range(self.__width			)
           ]
           ans.change_component(lowerCAmelCase__     ,	sum(lowerCAmelCase__			)			)
         return ans
       else:
         raise Exception(
             'vector must have the same size as the '
             'number of columns of the matrix!'			)
     elif isinstance(lowerCAmelCase__     ,	(int, float)			):  # matrix-scalar
       lowercase__           =    [
           [self.__matrix[i][j] * other for j in range(self.__width			)]
           for i in range(self.__height			)
       ]
       return Matrix(lowerCAmelCase__     ,	self.__width     ,	self.__height			)
     return None


   def 			SCREAMING_SNAKE_CASE_				(       self     :							Tuple			)->  int:





     """simple docstring"""







     return self.__height


   def 			SCREAMING_SNAKE_CASE_				(       self     :							List[str]			)->  int:





     """simple docstring"""







     return self.__width


   def 			SCREAMING_SNAKE_CASE_				(       self     :							List[str]     ,	a     :							List[str]     ,	a     :							str			)->  float:





     """simple docstring"""







     if 0 <= x < self.__height and 0 <= y < self.__width:
       return self.__matrix[x][y]
     else:
       raise Exception('change_component: indices out of bounds'			)


   def 			SCREAMING_SNAKE_CASE_				(       self     :							Optional[Any]     ,	a     :							List[str]     ,	a     :							Optional[int]     ,	a     :							str			)->  None:





     """simple docstring"""







     if 0 <= x < self.__height and 0 <= y < self.__width:
       lowercase__           =    value
     else:
       raise Exception('change_component: indices out of bounds'			)


   def 			SCREAMING_SNAKE_CASE_				(       self     :							List[Any]     ,	a     :							List[str]     ,	a     :							List[Any]			)->  float:





     """simple docstring"""







     if self.__height != self.__width:
       raise Exception('Matrix is not square'			)
     lowercase__           =    self.__matrix[:x] + self.__matrix[x + 1 :]
     for i in range(len(lowerCAmelCase__			)			):
       lowercase__           =    minor[i][:y] + minor[i][y + 1 :]
     return Matrix(lowerCAmelCase__     ,	self.__width - 1     ,	self.__height - 1			).determinant()


   def 			SCREAMING_SNAKE_CASE_				(       self     :							Tuple     ,	a     :							Any     ,	a     :							Tuple			)->  float:





     """simple docstring"""







     if self.__height != self.__width:
       raise Exception('Matrix is not square'			)
     if 0 <= x < self.__height and 0 <= y < self.__width:
       return (-1) ** (x + y) * self.minor(lowerCAmelCase__     ,	lowerCAmelCase__			)
     else:
       raise Exception('Indices out of bounds'			)


   def 			SCREAMING_SNAKE_CASE_				(       self     :							List[str]			)->  float:





     """simple docstring"""







     if self.__height != self.__width:
       raise Exception('Matrix is not square'			)
     if self.__height < 1:
       raise Exception('Matrix has no element'			)
     elif self.__height == 1:
       return self.__matrix[0][0]
     elif self.__height == 2:
       return (
           self.__matrix[0][0] * self.__matrix[1][1]
           - self.__matrix[0][1] * self.__matrix[1][0]
       )
     else:
       lowercase__           =    [
           self.__matrix[0][y] * self.cofactor(0     ,	lowerCAmelCase__			) for y in range(self.__width			)
       ]
       return sum(lowerCAmelCase__			)






def      __UpperCamelCase    (_SCREAMING_SNAKE_CASE						)							->  List[Any]:
  lowercase__           =    [[0] * n for _ in range(_SCREAMING_SNAKE_CASE						)]
  return Matrix(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)




def      __UpperCamelCase    (_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)							->  int:
  random.seed(_SCREAMING_SNAKE_CASE						)
  lowercase__           =    [
      [random.randint(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						) for _ in range(_SCREAMING_SNAKE_CASE						)] for _ in range(_SCREAMING_SNAKE_CASE						)
  ]
  return Matrix(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						)



import argparse
import json

import numpy
import torch

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


logging.set_verbosity_info()





def 							UpperCAmelCase		(       lowercase				,     lowercase				):







				"""simple docstring"""



				__lowercase					     =				torch.load(lowercase				,     map_location='''cpu'''				)

				__lowercase					     =				chkpt['''model''']

				# We have the base model one level deeper than the original XLM repository
				__lowercase					     =				{}
				for k, v in state_dict.items():
								if "pred_layer" in k:
												__lowercase					     =				v
								else:
												__lowercase					     =				v

				__lowercase					     =				chkpt['''params''']
				__lowercase					     =				{n: v for n, v in config.items() if not isinstance(lowercase				,     (torch.FloatTensor, numpy.ndarray)				)}

				__lowercase					     =				chkpt['''dico_word2id''']
				__lowercase					     =				{s + '''</w>''' if s.find('''@@'''				) == -1 and i > 13 else s.replace('''@@'''				,     ''''''				): i for s, i in vocab.items()}

				# Save pytorch-model
				__lowercase					     =				pytorch_dump_folder_path + '''/''' + WEIGHTS_NAME
				__lowercase					     =				pytorch_dump_folder_path + '''/''' + CONFIG_NAME
				__lowercase					     =				pytorch_dump_folder_path + '''/''' + VOCAB_FILES_NAMES['''vocab_file''']

				print(F"Save PyTorch model to {pytorch_weights_dump_path}"				)
				torch.save(lowercase				,     lowercase				)

				print(F"Save configuration file to {pytorch_config_dump_path}"				)
				with open(lowercase				,     '''w'''				,     encoding='''utf-8'''				) as f:
								f.write(json.dumps(lowercase				,     indent=2				) + '''\n'''				)

				print(F"Save vocab file to {pytorch_config_dump_path}"				)
				with open(lowercase				,     '''w'''				,     encoding='''utf-8'''				) as f:
								f.write(json.dumps(lowercase				,     indent=2				) + '''\n'''				)


if __name__ == "__main__":
		__a    :	Optional[int]         =    argparse.ArgumentParser()
		# Required parameters
		parser.add_argument(
		    """--xlm_checkpoint_path""", default=None, type=str, required=True, help="""Path the official PyTorch dump."""
		)
		parser.add_argument(
		    """--pytorch_dump_folder_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
		)
		__a    :	Any         =    parser.parse_args()
		convert_xlm_checkpoint_to_pytorch(args.xlm_checkpoint_path, args.pytorch_dump_folder_path)